Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8922)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): CLSW: Workshop on Chinese Lexical Semantics
Conference proceedings info: CLSW 2014.
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Table of contents (44 papers)
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Front Matter
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Lexical Semantics
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Front Matter
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About this book
This book constitutes the proceedings of the 15 Chinese Lexical Semantics Workshop, CLSW 2014, held in Macau, China, in June 2014.
The 41 regular and 3 short papers included in this volume were carefully reviewed and selected from 139 submissions. They are organized in topical sections named: lexical semantics; applications on natural language processing; and lexical resources and corpus linguistics.
Keywords
- applied linguistics
- chinese teaching
- chinese writing
- cognitive prominence
- computational linguistic
- corpus linguistics
- emotion category
- learning objectives
- lexical knowledge
- lexical resources
- lexical semantics
- natural language processing
- part-of-speech tagging
- prosody
- semantic labeling
- semantic similarity
- semantics
- sentiment analysis
- teaching materials
- word similarity
Editors and Affiliations
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Xiamen University, Xiamen, China
Xinchun Su
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Central China Normal University, Wuhan, China
Tingting He
Bibliographic Information
Book Title: Chinese Lexical Semantics
Book Subtitle: 15th Workshop, CLSW 2014, Macao, China, June 9--12, 2014, Revised Selected Papers
Editors: Xinchun Su, Tingting He
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-14331-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-14330-9Published: 14 January 2015
eBook ISBN: 978-3-319-14331-6Published: 26 December 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 450
Number of Illustrations: 80 b/w illustrations
Topics: Artificial Intelligence, Natural Language Processing (NLP), Chinese